Correlation Between Hangzhou Guotai and City Development
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By analyzing existing cross correlation between Hangzhou Guotai Environmental and City Development Environment, you can compare the effects of market volatilities on Hangzhou Guotai and City Development and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Hangzhou Guotai with a short position of City Development. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hangzhou Guotai and City Development.
Diversification Opportunities for Hangzhou Guotai and City Development
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Hangzhou and City is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Hangzhou Guotai Environmental and City Development Environment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on City Development Env and Hangzhou Guotai is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Hangzhou Guotai Environmental are associated (or correlated) with City Development. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of City Development Env has no effect on the direction of Hangzhou Guotai i.e., Hangzhou Guotai and City Development go up and down completely randomly.
Pair Corralation between Hangzhou Guotai and City Development
Assuming the 90 days trading horizon Hangzhou Guotai is expected to generate 5.42 times less return on investment than City Development. In addition to that, Hangzhou Guotai is 1.65 times more volatile than City Development Environment. It trades about 0.0 of its total potential returns per unit of risk. City Development Environment is currently generating about 0.03 per unit of volatility. If you would invest 981.00 in City Development Environment on October 12, 2024 and sell it today you would earn a total of 253.00 from holding City Development Environment or generate 25.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 90.36% |
| Values | Daily Returns |
Hangzhou Guotai Environmental vs. City Development Environment
Performance |
| Timeline |
| Hangzhou Guotai Envi |
| City Development Env |
Hangzhou Guotai and City Development Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hangzhou Guotai and City Development
The main advantage of trading using opposite Hangzhou Guotai and City Development positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hangzhou Guotai position performs unexpectedly, City Development can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in City Development will offset losses from the drop in City Development's long position.| Hangzhou Guotai vs. Shandong Polymer Biochemicals | Hangzhou Guotai vs. Nanjing Putian Telecommunications | Hangzhou Guotai vs. Great Sun Foods Co | Hangzhou Guotai vs. Sunwave Communications Co |
| City Development vs. Western Metal Materials | City Development vs. Ningbo Tip Rubber | City Development vs. Chongqing Sulian Plastic | City Development vs. Fuda Alloy Materials |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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